Applying Fuzzy Logic Theory to Agricultural Statistics
In the analysis of the rate of technical progress, we often encounter this kind of
problem: how does one treat the relationship between two kinds of indefinite variables? A
practical method for doing so is fuzzy logic. In this paper the rate of technical progress
is established using the concept of fuzzy sets, and the model function is linearized to a
Cobb-Douglas production function. By using fuzzy linear programming in Mathematica,
a highly precise result describing the future direction of the agricultural
economy is obtained.